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DBMS > Graph Engine vs. MonetDB vs. OrientDB vs. RRDtool

System Properties Comparison Graph Engine vs. MonetDB vs. OrientDB vs. RRDtool

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Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonMonetDB  Xexclude from comparisonOrientDB  Xexclude from comparisonRRDtool  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA relational database management system that stores data in columnsMulti-model DBMS (Document, Graph, Key/Value)Industry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.
Primary database modelGraph DBMS
Key-value store
Relational DBMSDocument store
Graph DBMS
Key-value store
Time Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.62
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score1.72
Rank#148  Overall
#68  Relational DBMS
Score3.27
Rank#97  Overall
#16  Document stores
#6  Graph DBMS
#15  Key-value stores
Score2.14
Rank#124  Overall
#10  Time Series DBMS
Websitewww.graphengine.iowww.monetdb.orgorientdb.orgoss.oetiker.ch/­rrdtool
Technical documentationwww.graphengine.io/­docs/­manualwww.monetdb.org/­Documentationwww.orientdb.com/­docs/­last/­index.htmloss.oetiker.ch/­rrdtool/­doc
DeveloperMicrosoftMonetDB BVOrientDB LTD; CallidusCloud; SAPTobias Oetiker
Initial release2010200420101999
Current releaseDec2023 (11.49), December 20233.2.29, March 20241.8.0, 2022
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoMozilla Public License 2.0Open Source infoApache version 2Open Source infoGPL V2 and FLOSS
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CCJavaC infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systems.NETFreeBSD
Linux
OS X
Solaris
Windows
All OS with a Java JDK (>= JDK 6)HP-UX
Linux
Data schemeyesyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yes
Typing infopredefined data types such as float or dateyesyesyesNumeric data only
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono infoExporting into and restoring from XML files possible
Secondary indexesyesyesno
SQL infoSupport of SQLnoyes infoSQL 2003 with some extensionsSQL-like query language, no joinsno
APIs and other access methodsRESTful HTTP APIJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
in-process shared library
Pipes
Supported programming languagesC#
C++
F#
Visual Basic
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
Server-side scripts infoStored proceduresyesyes, in SQL, C, RJava, Javascriptno
TriggersnoyesHooksno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding via remote tablesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoSource-replica replication available in experimental statusMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocould be achieved with distributed queriesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnone
Foreign keys infoReferential integritynoyesyes inforelationship in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoby using the rrdcached daemon
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles; record level security configurableno

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More resources
Graph Engine infoformer name: TrinityMonetDBOrientDBRRDtool
DB-Engines blog posts

Graph DBMS increased their popularity by 500% within the last 2 years
3 March 2015, Paul Andlinger

Graph DBMSs are gaining in popularity faster than any other database category
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Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

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